{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "time", "damage amount", "attacker", "purpose", "victim", "place"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "common vulnerabilities and exposures", "vulnerable system version", "vulnerable system owner", "time", "vulnerable system", "discoverer"]}, {"event_type": "data breach", "trigger": true, "arguments": ["attack pattern", "damage amount", "purpose", "victim", "tool", "number of victim", "place", "time", "compromised data", "attacker"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "price", "damage amount", "attacker", "tool", "time", "payment method"]}], "input": "Social Security numbers and other sensitive information was not compromised ."}
{"phishing": [], "discover vulnerability": [], "data breach": [{"trigger": "was not compromised", "arguments": {"attack pattern": "NAN", "damage amount": "NAN", "purpose": "NAN", "victim": "NAN", "tool": "NAN", "number of victim": "NAN", "place": "NAN", "time": "NAN", "compromised data": ["Social Security numbers", "sensitive information"], "attacker": "NAN"}}], "ransom": []}